Title :
Design of Mining Equipment Health Diagnostic System (4M system)
Author :
Xiaohan, Cheng ; Guoying, Meng ; Wei, Li ; Xiao, He
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
In order to improve the deficiency and passivity of periodical maintenance for mining equipments, a new mining equipment management mode-4M system is put forward in this paper. It is a quaternity management mode including daily maintenance information management, on-line monitoring, malfunction simulation and predictive maintenance. The overall function and operation process of 4M system is introduced in this paper.
Keywords :
condition monitoring; information management; maintenance engineering; mining equipment; production engineering computing; 4M mining equipment health diagnostic system; daily maintenance information management; design; equipment malfunction simulation; equipment online monitoring; mining equipment management mode; predictive maintenance; Databases; Mining equipment; Monitoring; Predictive maintenance; Predictive models; Real time systems; 4M system; health diagnostic; mining equipment management;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5953220
